Epicenter of Health Care Transformation - PowerPoint PPT Presentation

1 / 40
About This Presentation
Title:

Epicenter of Health Care Transformation

Description:

Epicenter of Health Care Transformation – PowerPoint PPT presentation

Number of Views:31
Avg rating:3.0/5.0
Slides: 41
Provided by: mart176
Category:

less

Transcript and Presenter's Notes

Title: Epicenter of Health Care Transformation


1
(No Transcript)
2
An Unsustainable Path
Better Prevention and Management of Chronic
Disease are Critical to Improving Health Outcomes
and Lowering Healthcare Costs
Source DeVol, R, Bedroussian, A, et al. An
Unhealthy America The Economic Burden of
Chronic Disease. The Milken Institute. October
2007.
2
3
Our Leaders Agree
  • In the future, when doctors can truly prescribe
    the right treatment, to the right person, at the
    right time, we will have a new level of precision
    and effectiveness that will provide the
    knowledge-driven power that is necessary to
    achieve our highest goals in healthcare reform
    including more effective disease prevention and
    early disease detection.
  • HHS Secretary Kathleen Sebelius
  • Senate confirmation hearings, April 2, 2009

3
4
IGNITE is a unique non-profit medical research
institute in the national capital area aimed at
alleviating human suffering and transforming the
health care system using a new strategy Personal
ized Medicine
4
5
Strategy
  • Chronic disease RD focus align program with
    market needs from outset
  • Deep molecular sub-classification of chronic
    disease (all heritable risk identified)
  • Identify at-risk individuals from across the
    population via genetic risk factor testing
  • Run distributed primary prevention trials
    facilitated by HIT network
  • Apply results rapidly back to at-risk individuals
    via a robust translational infrastructure
    including a captured health care system
  • Integrate health information technology to allow
    heritable risk information to be incorporated
    into point-of-care with clinical decision
    support
  • Empower change across the personalized medicine
    ecosystem through policy, education, health
    economics, regulation
  • Outcome Alleviate or delay the onset of chronic
    disease and decrease the time individuals are
    sick at the end of life and allow resources to
    care for more

5
6
CASE STUDY Alzheimers
7
Alzheimers Disease
7
8
How AD Contributes to the Crisis
In Boomer Diseases, such as Alzheimers, Impact
and Costs Will Escalate Dramatically Without New
Interventions
2000
16
Baseline Estimate
14
Delayed Onset Slowed Progression (6 yrs)
1500
12
10
Estimated Number of People With AD (in millions)
1000
8
6
500
4
2
0
0
2000
2010
2020
2030
2040
2050
Adapted from The Lewin Group Report, June 2004,
Saving Lives. Saving Money Dividends for
Americans Investing in Alzheimer Research, The
Alzheimers Association (http//www.alz.org/Resour
ces/FactSheets/Lewin_FullReport1.pdf)
8
9
Deep MOLECULAR SUB-CLASSIFICATION
10
Molecular Scanning Technologies
  • Chairman of NIH Microarray Consortium (15 NIH)
  • 10 years of experience with Affymetrix platform
  • 5 years experience with Illumina
  • gt60,000 expression profiles run
  • gt100,000 SNP arrays run (10k, 100k, 500k, 1M)
  • Data warehousing
  • First Genomics Collaborators , Center of
    Excellence, and TransMed site of Affymetrix
  • NHLBI Programs in Genomic Applications
  • NEI intramural contract site
  • NIH Neuroscience Array Consortium
  • NCI funded ALL catalog
  • NIA funded Alzheimers disease catalog
  • ADNI Consortium hub
  • International Autism Genome Project Genotyping
    Site
  • TCGA Biospecimen repository
  • High throughput sequencing (Solexa, 454, ABI,
    Pacific Biosiences)

11
The Shop
12
NIH Neuroscience Microarray Consortium
Total Projects 455 (45,400 arrays)
  • 1650 registered users
  • 455 proposals submitted from about 114
    institutions around the country and from over 287
    different investigators

13
(No Transcript)
14
(No Transcript)
15
(No Transcript)
16
(No Transcript)
17
Population-wide screening
18
Population-based Genetic Risk Factor
ScreeningDavid Agus, MD Dietrich Stephan,
PhDSABIsaac Kohane, MD PhDDavid Botstein,
PhDSpencer Wells, PhD
19
Extract the Total Heritable Risk for Chronic
Disease
1
5
2
3
4
Customer Acquisition
PersonalizedWeb Portal
Ongoing Service
Laboratory
Bioinformatics
ATACCGCTGGCCCTTTGGCATTACCTATGAAGATTGCTTCAGCCAGCGTC
AGTTTCAACCTGTACGCTAGTGTGTTTCTACTCACGTGTCTCAGCATTGA
TCGATACCTGGCTATTGTTCACCCAATGAAGTCCC
FUTURE Full genome sequencing, copy number
analysis, methylation status leading to
personalized exposure mitigation strategies and
biomarker monitoring programs fully integrated
into the established health care system.
Navigenics CONFIDENTIAL
20
Non-Invasive DNA Collection Kit
21
GMP-compliant, ISO-certified Array Manufacturing
Photolithography
Chemistry
22
QUALITYCLIA and stringent QC labCaptured
perfectly Per SNP algorithm checksPer SNP
concordanceH-W equilibrium checks
23
What we do
Review world class academic and clinical research
published in leading peer-reviewed journals
and provide personalized, preventative, health
and wellness information
Navigenics CONFIDENTIAL
23
Navigenics CONFIDENTIAL
24
Stringent Curation Criteria
  • Replication in the same ethnic group
  • Once for GWAS, twice for candidate gene studies
  • gt60 independent sample sets show same
    statistically significant effect with same allele
    (after trimming underpowered samples)
  • Study design - An effort was made to sample
    controls from the same source population as the
    cases, e.g. ethnicity, gender, age, or other risk
    factors.
  • Reasonable sample size to detect weak effects. OR
    lt1.5 needs 250 cases/250 controls at least.
  • Significance level - Exact value depends on
    magnitude of the study (e.g. GWAS or candidate
    gene)
  • Sound statistical design - correction for
    multiple testing, population stratification,
    confounding
  • Sound laboratory practice - independent
    genotyping platforms, replicated samples
  • Functional data and magnitude of effect are also
    taken into account, but studies are not
    automatically excluded if functional data is
    unavailable or the effect estimate is small.

25
Finding the Relative Risk - see full details at
navigenics.com
Genotype Freq
?
OR (RR)
? (RN)
?
OR (RN)
? (RN)
Prevalence
  • We normally get genotypic odds ratios RR/NN, RN/NN
  • Using genotype frequencies and prevalence, we
    derive a set ofquadratic equations the
    solution provides the relative risks.

26
Distribution of effect sizes for genetic and
environmental risk factors
Risk factors determined from literature using
strict curation guidelines
27
Google, Microsoft, MDVIP, Cisco, etc
28
Distribution of fold change in lifetime risk by
individual patient
Orange (gt1.2X)
Gray (lt1.2X)
Average lifetime risk for this condition
0.06 Individuals estimated lifetime risk
0.37 Fold change in ALTR 0.37/0.06 6.2
Fold ALTR
Individual Patient Number
  • Across the entire population
  • 98 of patients showed at least condition with
    gt1.2X increase in average lifetime risk
  • 45 of patients showed at least condition with
    gt3X increase in average lifetime risk

29
Conditions with gt3X ALTR risk by individual
patient
Fold ALTR
Individual Patient Number
Alzheimers disease Celiac disease Crohns
disease Glaucoma Graves disease Macular
degeneration Multiple sclerosis
30
(No Transcript)
31
Alzheimers Disease Homozygous or Orange
30 APOE4 Heterozygous
3.3 APOE4 Homozygous
32
Clinical Decision Support - Prevention
33
GUIDE PATIENTS TO PRIMARY PREVENTION TRIALS
34
fMRI in at-risk Individuals as a Surrogate for
Clinical Efficacy (BAI)
  • push loaded patients to BAI via Navigenics
  • baseline imaging performed
  • patients go on drug and placebo
  • periodic functional imaging
  • use imaging as surrogate measure of clinical
    efficacy
  • PROS
  • hundreds of patients vs. thousands
  • years vs. decades
  • millions vs. hundreds of millions
  • within patent life of compound
  • CONS
  • imagining not endpoint for approval
  • no biomarker associated with imaging

35
Deliver genome and CDS via HIT
36
Health Information Technology Accelerates
Personalized Medicine
  • Embed the genome into the electronic medical
    record (EMR)
  • Role-based access to genome data (insurance
    companies excluded)
  • Connect to a consumer-facing portal (PCHR,
    patientslikeme, Healthvault)
  • Allow HIPAA-compliant messaging and
    interventional distributed trials
  • Secure and authenticate transactions and data
    flow
  • Undergird the clinical information system with a
    research database that can connect to other
    regional HIT systems (MS Amalga)
  • Build a flexible clinical decision support module
    that allows physicians to understand
    molecularly-guided strategies
  • Enable a learning CDS that constantly refines
    itself with the data flows to optimize clinical
    care

36
37
Summary of Solution Alzheimers
  • Identify genes that classify the population into
    high and low risk
  • Build a broad-based CLIA genetic testing
    infrastructure to classify individuals across the
    world (Navigenics)
  • Incorporate pointers to push high risk
    individuals into our clinical trial at BAI
  • Develop functional brain imaging strategy that
    can detect the earliest brain changes associated
    with AD that can be used as a surrogate measure
    of clinical efficacy in slowing AD pathology
  • Run a series of small trials drawing on a
    national base and fMRI to develop primary
    prevention drugs for AD in the next decade
  • Work with the FDA so that fMRI and associated
    biomarkers are robust enough for approval of
    primary prevention therapies
  • Use HIT vehicle to disseminate approved therapies
    back to population

37
38
Results of Personalized Medicine in Chronic
Disease
  • Genomic Profile / Predisposition / Environmental
    Risks

Family Members Health Care
Personal Health / Wellness (Disease pre-emption)
Interaction with Health Care Provider (Early
diagnosis if needed)
Learning Health Care System
Interventions (Targeted treatment individualized
to my molecular profile and that of my disease)
Post-Disease Management
38
39
What Does Success Look Like?
Americans living longer without disease
American health care delivering value at reduced
cost
Connected information from bench to bedside
Robust pipeline of diagnostics and targeted
therapeutics moving toward approval
Growing portfolio of emerging, innovative
companies
39
40
TRANSFORMING THE HEALTH CARE SYSTEM THROUGH
APPLIED RESEARCH IN THE NATIONAL CAPITAL
AREAInova Health SystemGeorge Mason
UniversityGeorge Washington University
Write a Comment
User Comments (0)
About PowerShow.com